Event-level data privacy for streaming post analytics data

US11968236B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Ryan M. Rogers · Los Gatos, US
• Subbu Subramaniam · Sunnyvale, US
• Mark B. Cesar · Oakland, US
• Adrian Rivera Cardoso · San Francisco, US
• Yu-Tso Chen · San Jose, US
• Jefferson Lai · San Jose, US
• Vinyas Maddi · San Jose, US
• Lin Xu · Zhenjiang, CN
• Gavin Castro Uathavikul · Sausalito, US
• Neha Jain · Mohali, IN
• Shraddha Sahay · Newark, US
• Parvez Ahammad · San Jose, US
• Rahul Tandra · Palo Alto, US

Key dates

• Filing date: Mar 30, 2022
• Grant date: Apr 23, 2024
• Expiry date: Dec 15, 2042

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L63/20
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

Technologies for providing event-level data privacy for streaming post analytics data include, in some embodiments, receiving a data stream that includes instances of count data collected over a time interval, computing a true count breakdown that includes a set of sub-counts of non-public user interface interactions on the post, creating a noisy count breakdown by applying at least one differential privacy mechanism to the set of sub-counts, and streaming the noisy count breakdown instead of the true count breakdown to a computing device. At least one of the sub-counts is a count that is associated with a particular value of an attribute that has different possible values. The attribute is associated with the non-public user interface interactions on the post.